Coding Assistants

Composable prompt recipes that force coding agents to align, test, and architect instead of blindly generating code.

OmniRoute keeps your coding agents online by automatically failing over across 177 AI providers—including free tiers—when quotas run dry.

Orca gives every CLI coding agent its own git worktree so you can run Claude, Codex, and Grok in parallel without stashing or branch juggling.

Graphify builds a queryable knowledge graph from your whole project so AI assistants can answer architecture questions without grepping raw files.

Pi bundles a unified LLM API, agent runtime, and interactive coding CLI into a monorepo that treats every dependency update as a potential attack.

It builds a persistent structural map of your codebase so AI assistants read only the files in a change's blast radius instead of the whole repo.

It forces your AI coding agent to ask what you're building, write a plan, and get sign-off before it writes a single line of code.

A ruleset that treats every line of generated code as an admission of defeat.

A Claude Code framework that automates job hunting with fit scoring, LaTeX document tailoring, and a two-agent review loop.

OfficeCLI treats Word, Excel, and PowerPoint as structured data you manipulate with single commands, not COM objects you wrestle into submission.

A library of domain-specific system prompts that turns generic AI assistants into specialized team members with job descriptions, workflows, and communication styles.

Because making AI agents read Twitter, Reddit, or Bilibili usually means wrestling with a dozen scrapers, API keys, and cookie jars.

A curated registry of reusable instruction packages that keep Claude and other agents from reinventing the wheel on every task.

Taste-Skill is a collection of portable prompt files that teach coding agents to generate layouts, type, and motion that don’t look like they came from a 2015 Bootstrap tutorial.

SpaceXAI's coding agent runs inside a fullscreen, mouse-interactive terminal harness that can also operate headlessly for CI or embed into editors.

Because verbose AI explanations waste tokens and patience, this skill makes agents talk like cavemen—terse, accurate, and cheap.

An MCP server that turns your entire codebase into a queryable knowledge graph, running locally with zero dependencies to cut AI agent token usage by 99%.

It gives AI coding assistants a structured taste filter, mapping vague project descriptions to industry-specific colors, fonts, and anti-patterns.

Impeccable exists to stop AI coding assistants from defaulting to the same handful of SaaS-template tells—Inter everywhere, nested cards, purple gradients—by giving them a curated design vocabulary and 27 deterministic anti-pattern rules.

ECC exists because raw agent harnesses lack persistent memory, token discipline, and security guardrails, so it layers reusable skills, session hooks, and audit rules on top of them.